Senior Solutions Architect (Pre-sales) - Life Sciences

We are looking for a creative, execution-oriented Senior Solutions Architect to join the Benelux team to maximise the phenomenal market opportunity that exists for Databricks in the Life Science industry.

You will bring experience as an architect on large, complex, multinational accounts, and your mission will be to drive the technical and consumption strategy for one of the world's most notable life science companies.

The Impact You Will Have:

• Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth.
• Own senior-level technical relationships , serving as a trusted advisor on enterprise data and AI strategy.
• Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, including GenAI and agentic AI workflows.
• Operate as an Expert on the Databricks Platform with a declared archetype , actively mentoring others and driving horizontal impact across your team.
• Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms.
• Orchestrate cross-functional teams to deliver enterprise-grade solutions.
• Coach and develop junior engineers/architects on technical depth, customer engagement, and use case prioritisation.
• Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.

What We Look For:

• 8+ years of experience in a global/cross-region, multi-architect account team, combining solutions architecture, principal engineering, technical pre-sales leadership in a customer-facing capacity.
• Strong hands-on technical background and coding proficiency , Python, SQL, and ideally Spark/PySpark.
• Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
• Expert-level data platform knowledge (either in Databricks or a similar modern data & AI platform with demonstrated rapid learning ability).
• Recognised as an expert in technical specialisation , e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
• Executive presence , ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
• Strong strategic thinking , connecting technical architecture decisions to business outcomes and revenue impact.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline.

Nice to Have:

• Databricks certifications.
• Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, ideally within Healthcare & Life Sciences.
• Published thought leadership.
• Life Sciences industry vertical expertise with executive-level domain credibility.